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Nilesh Kasotiya

Data Annotation Specialist

India flagBotad, India
$50.00/hrIntermediateLabelbox

Key Skills

Software

LabelboxLabelbox

Top Subject Matter

Autonomous Driving/Computer Vision
Natural Language Processing (NLP)/Chatbots

Top Data Types

TextText
ImageImage

Top Task Types

Segmentation
Classification

Freelancer Overview

Data Annotation Specialist. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox and Amazon SageMaker. AI-training focus includes data types such as Geospatial, Tiled Imagery, and Text and labeling workflows including Segmentation and Classification.

IntermediateEnglish

Labeling Experience

Labelbox

Data Annotation Specialist

LabelboxSegmentation
As a Data Annotation Specialist, I performed high-volume annotation of geospatial, satellite, and potentially LIDAR imagery to support AI model development. I collaborated with machine learning engineers to develop and refine annotation protocols for consistency and reduced ambiguity. My work demanded strict adherence to high-quality standards and production quotas. • Annotated images for autonomous vehicle datasets using 3D cuboids and semantic segmentation. • Consistently maintained 98%+ accuracy across labeling projects. • Leveraged CVAT, VGG Image Annotator (VIA), Labelbox, and Scale AI for annotation. • Improved labeling guidelines, resulting in a 20% reduction in ambiguity.

As a Data Annotation Specialist, I performed high-volume annotation of geospatial, satellite, and potentially LIDAR imagery to support AI model development. I collaborated with machine learning engineers to develop and refine annotation protocols for consistency and reduced ambiguity. My work demanded strict adherence to high-quality standards and production quotas. • Annotated images for autonomous vehicle datasets using 3D cuboids and semantic segmentation. • Consistently maintained 98%+ accuracy across labeling projects. • Leveraged CVAT, VGG Image Annotator (VIA), Labelbox, and Scale AI for annotation. • Improved labeling guidelines, resulting in a 20% reduction in ambiguity.

2025 - Present

AI Training Associate

TextClassification
As an AI Training Associate, I classified and labeled large volumes of text for chatbot intent and sentiment analysis. I flagged edge cases to help developers optimize model robustness and performed QA on peer-labeled data. My efforts drove improvements in model quality and annotation team consistency. • Labeled thousands of text datasets for chatbot intent categories and NER. • Conducted sentiment analysis on over 50,000 e-commerce customer reviews. • Used Amazon SageMaker Ground Truth, Labelbox, and CVAT for text and entity labeling workflows. • Supported quality assurance processes and bias reduction initiatives.

As an AI Training Associate, I classified and labeled large volumes of text for chatbot intent and sentiment analysis. I flagged edge cases to help developers optimize model robustness and performed QA on peer-labeled data. My efforts drove improvements in model quality and annotation team consistency. • Labeled thousands of text datasets for chatbot intent categories and NER. • Conducted sentiment analysis on over 50,000 e-commerce customer reviews. • Used Amazon SageMaker Ground Truth, Labelbox, and CVAT for text and entity labeling workflows. • Supported quality assurance processes and bias reduction initiatives.

2022 - 2025

Education

N

Nilesh B Kasotiya

full, Gujarat

full
2020 - 2026

Work History

I

Independent

Content Creator

N/A
2026 - Present
N

N/A

Digital Media Specialist

N/A
Not specified